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Temporary Data Scientist Machine Learning Jobs in Independence, KY

Applied Data Scientist

Cincinnati, OH · On-site

$109K - $197K/yr

Bachelor's or Master's degree (Preferred) in Computer Science, Data Science, Artificial ... Proficiency in programming languages like Python and experience with machine learning frameworks (e ...

Data Science Tutor

Cincinnati, OH · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Do you have a background in data science and/or computer science with experience working with AI ... machine intelligence (e.g., machine learning, algorithms, neural networks, computer vision ...

Do you have a background in data science and/or computer science with experience working with AI ... machine intelligence (e.g., machine learning, algorithms, neural networks, computer vision ...

This role will work closely with AI engineers, software developers, data teams, and Model Risk ... Develop, test, validate, and deploy Machine Learning and Generative AI models in production ...

New

ClifyX is seeking a Senior Data Scientist to enhance their AI-driven systems. The role involves ... Required : • 2+ years of proven experience building deep learning models for large-scale ...

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Showing results 41-60

Temporary Data Scientist Machine Learning information

See Independence, KY salary details

$36.9K

$120.8K

$193.4K

How much do temporary data scientist machine learning jobs pay per year?

As of Sep 3, 2026, the average yearly pay for temporary data scientist machine learning in Independence, KY is $120,831.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,000.00 and $133,900.00 per year, depending on experience, location, and employer.

What does a temporary data scientist specializing in machine learning do?

A Temporary Data Scientist specializing in Machine Learning is responsible for designing, building, and deploying machine learning models to analyze data and generate insights, but works on a contract or short-term basis. Their duties often include data preprocessing, model selection and validation, and communicating results to stakeholders. They may also be tasked with automating processes, cleaning large datasets, and collaborating with other teams to implement solutions. The temporary nature of the job means they often focus on specific projects or provide support during peak periods.

What are the key skills and qualifications needed to thrive as a temporary data scientist specializing in machine learning?

To thrive as a Temporary Data Scientist Machine Learning, you generally need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, adaptability, and effective communication are crucial soft skills for collaborating with teams and translating technical findings to stakeholders. These skills ensure that temporary data scientists can quickly contribute actionable insights, drive data-driven decisions, and add value within a limited time frame.

What are some typical projects or tasks a temporary data scientist specializing in machine learning might work on?

As a temporary Data Scientist focusing on machine learning, you can expect to work on short-term, high-impact projects such as building predictive models, cleaning and preparing data, or developing automated analytics solutions. You may be brought in to support ongoing initiatives, provide expertise for a specific project phase, or help accelerate a backlog of tasks. Collaboration is common, and you'll likely work closely with data engineers, business analysts, and domain experts to understand requirements and deliver actionable insights within tight deadlines. This role offers exposure to diverse datasets and tools, and is an excellent opportunity to rapidly expand your experience and network.

What is the difference between Temporary Data Scientist Machine Learning vs Temporary Data Analyst?

AspectTemporary Data Scientist Machine LearningTemporary Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentProject-based, collaborative teams, tech-focused companiesBusiness units, reporting teams, data-driven departments
Employer & Industry UsageTech firms, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Temporary Data Scientist Machine Learning roles focus on developing and deploying machine learning models, requiring advanced analytics skills. Temporary Data Analysts primarily interpret data, generate reports, and support decision-making. While both roles involve data handling, Data Scientists with ML expertise work on predictive modeling, whereas Data Analysts focus on descriptive analytics. The choice depends on the project needs and skill requirements.

What are popular job titles related to Temporary Data Scientist Machine Learning jobs in Independence, KY?

For Temporary Data Scientist Machine Learning jobs in Independence, KY, the most frequently searched job titles are:

Infographic showing various Temporary Data Scientist Machine Learning job openings in Independence, KY as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $120,831 per year, or $58.1 per hour.

Machine Learning Engineer

Ruri Software Technologies LLC

Cincinnati, OH • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Title :Machine Learning Engineer (Senior Level)
Location :- Onsite: Cincinnati
Job Description:
Primary Skills: Python, Machine Learning, TensorFlow, PyTorch, MLOps, AWS/Azure/GCP, Docker, Kubernetes

Required Skills
• Strong Python expertise with NumPy, Pandas, Scikit-learn.
• Hands-on experience with TensorFlow and/or PyTorch.
• Experience building and deploying ML solutions on AWS, Azure, or GCP.
• Knowledge of ML pipelines, model evaluation, CI/CD, version control, and MLOps practices.
• Strong understanding of ML system design, performance optimization, and monitoring.
Preferred Skills
• Experience with MLflow, SageMaker, Azure ML or similar MLOps platforms.
• Knowledge of Docker, Kubernetes, Spark, or Ray.
• Experience with LLMs, Deep Learning, Transformers, Vector Databases, and ML Governance.
• Prior experience leading ML projects or mentoring teams.
Key Responsibilities
• Design, build, deploy, and maintain ML models and end-to-end ML pipelines.
• Perform data preparation, feature engineering, model training, evaluation, and optimization.
• Deploy and monitor models in production, including model drift detection and retraining.
• Collaborate with data engineering, DevOps, and business teams to deliver scalable ML solutions.
• Architect enterprise-scale ML systems and drive MLOps, automation, governance, and reliability initiatives.
• Mentor engineers, provide technical leadership, and evaluate emerging AI/ML technologies.
Years of Experience: 12.00 Years of Experience
Regards
Surya
surya@rurisoft.com